Insurance fraud detection is a complex and data-intensive process. In this case study, we’ll look at one insurance company that uses our link analysis toolkit, KeyLines, to perform powerful insurance fraud visualization.
In 2013, we worked with the Canadian branch of a global insurance organization. With over three million customers, they’re one of the largest insurers in Canada, and invest heavily in fraud detection and investigation activity.
While they’ve always taken a proactive approach to detect and stop insurance fraud, they had identified an opportunity to make their process more effective and efficient with more powerful link analysis tools.
Our customer, like many in the insurance industry, uses the SAS suite of tools for insurance fraud detection, prevention, and management.
Part of this suite is a Social Network Analysis (SNA) module, which ingests data (at an account, customer, claim and policy level) and presents it as a link analysis chart, using links and nodes. Users analyze this chart to identify and understand patterns, anomalies and unusual connections.
Although this SNA module provided valuable insight into the dense connections contained in insurance fraud data, it had some limitations:
Our customer approached us to investigate using KeyLines to extend the insurance fraud visualization capability of the SAS platform with advanced interactive link analysis. A key criterion was for the link analysis component to be entirely web-based, to integrate with the customer’s wider toolset and workflow.
Other criteria included:
Led by their research and development department, assisted by support from the KeyLines team, our customer built a powerful link analysis application that integrated seamlessly with their wider SAS infrastructure in under two months.
The application uses the existing SAS data warehouses and entity profiling (intelligent risk scoring and flagging) to create an interactive KeyLines link analysis chart. This KeyLines chart is securely made available to end-users via a web browser.
Using KeyLines’ flexible event model to define the user experience, a completely customized interface and experience was built. This level of granular development control ensured the whole application was intuitive and easy to use, without the need for specific user training.
KeyLines also simplified the data querying and exploration process. Instead of manually formulating and submitting a new SAS query each time, users can now use KeyLines as a visual query engine – calling new data to the chart on-demand with a click.
Additional functionality previously unavailable in SAS’ own insurance fraud visualizations was also made available to staff. These include filters, social network analysis measures, node manipulation, and automatic layouts.
If you would like to know more about how KeyLines could help your fraud systems, or if you’d like to start a free trial of KeyLines, please get in touch with us.
Learn more about how KeyLines helps organizations detect and stop fraud.